node_test_reduce_prod_default_axes_keepdims_random_model_torch.mlir

module {
  func.func @test_reduce_prod_default_axes_keepdims_random(%arg0: !torch.vtensor<[3,2,2],f32>) -> !torch.vtensor<[1,1,1],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 18 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
    %int0 = torch.constant.int 0
    %int0_0 = torch.constant.int 0
    %int1 = torch.constant.int 1
    %int2 = torch.constant.int 2
    %0 = torch.aten.dim %arg0 : !torch.vtensor<[3,2,2],f32> -> !torch.int
    %1 = torch.aten.lt.int %int0_0, %int0 : !torch.int, !torch.int -> !torch.bool
    %2 = torch.aten.Int.bool %1 : !torch.bool -> !torch.int
    %3 = torch.aten.mul.int %2, %0 : !torch.int, !torch.int -> !torch.int
    %4 = torch.aten.add.int %int0_0, %3 : !torch.int, !torch.int -> !torch.int
    %5 = torch.aten.lt.int %int1, %int0 : !torch.int, !torch.int -> !torch.bool
    %6 = torch.aten.Int.bool %5 : !torch.bool -> !torch.int
    %7 = torch.aten.mul.int %6, %0 : !torch.int, !torch.int -> !torch.int
    %8 = torch.aten.add.int %int1, %7 : !torch.int, !torch.int -> !torch.int
    %9 = torch.aten.lt.int %int2, %int0 : !torch.int, !torch.int -> !torch.bool
    %10 = torch.aten.Int.bool %9 : !torch.bool -> !torch.int
    %11 = torch.aten.mul.int %10, %0 : !torch.int, !torch.int -> !torch.int
    %12 = torch.aten.add.int %int2, %11 : !torch.int, !torch.int -> !torch.int
    %true = torch.constant.bool true
    %none = torch.constant.none
    %13 = torch.aten.prod.dim_int %arg0, %4, %true, %none : !torch.vtensor<[3,2,2],f32>, !torch.int, !torch.bool, !torch.none -> !torch.vtensor<[?,?,?],f32>
    %14 = torch.aten.prod.dim_int %13, %8, %true, %none : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.bool, !torch.none -> !torch.vtensor<[?,?,?],f32>
    %15 = torch.aten.prod.dim_int %14, %12, %true, %none : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.bool, !torch.none -> !torch.vtensor<[?,?,?],f32>
    %int-1 = torch.constant.int -1
    %int-1_1 = torch.constant.int -1
    %int-1_2 = torch.constant.int -1
    %16 = torch.prim.ListConstruct %int-1, %int-1_1, %int-1_2 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %17 = torch.aten.reshape %15, %16 : !torch.vtensor<[?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,1,1],f32>
    return %17 : !torch.vtensor<[1,1,1],f32>
  }
}

torch-mlir-opt --convert-torch-onnx-to-torch --torch-decompose-complex-ops --cse --canonicalize ../onnx_torch_import_20231121/node_test_reduce_prod_default_axes_keepdims_random_model.mlir

module {
  func.func @test_reduce_prod_default_axes_keepdims_random(%arg0: !torch.vtensor<[3,2,2],f32>) -> !torch.vtensor<[1,1,1],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 18 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
    %int-1 = torch.constant.int -1
    %none = torch.constant.none
    %true = torch.constant.bool true
    %int0 = torch.constant.int 0
    %int1 = torch.constant.int 1
    %int2 = torch.constant.int 2
    %0 = torch.aten.prod.dim_int %arg0, %int0, %true, %none : !torch.vtensor<[3,2,2],f32>, !torch.int, !torch.bool, !torch.none -> !torch.vtensor<[?,?,?],f32>
    %1 = torch.aten.prod.dim_int %0, %int1, %true, %none : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.bool, !torch.none -> !torch.vtensor<[?,?,?],f32>
    %2 = torch.aten.prod.dim_int %1, %int2, %true, %none : !torch.vtensor<[?,?,?],f32>, !torch.int, !torch.bool, !torch.none -> !torch.vtensor<[?,?,?],f32>
    %3 = torch.prim.ListConstruct %int-1, %int-1, %int-1 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
    %4 = torch.aten.view %2, %3 : !torch.vtensor<[?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,1,1],f32>
    return %4 : !torch.vtensor<[1,1,1],f32>
  }
}

torch-mlir-opt --convert-torch-to-linalg ../test/prod/node_test_reduce_prod_default_axes_keepdims_random_model_torch.mlir

torch-mlir-opt --convert-torch-to-linalg ../test/prod/node_test_reduce_prod_default_axes_keepdims_random_model_torch.mlir
../test/prod/node_test_reduce_prod_default_axes_keepdims_random_model_torch.mlir:13:10: error: failed to legalize operation 'torch.aten.view' that was explicitly marked illegal
    %4 = torch.aten.view %2, %3 : !torch.vtensor<[?,?,?],f32>, !torch.list<int> -> !torch.vtensor<[1,1,1],f32>
         ^
../test/prod/node_test_reduce_prod_default_axes_keepdims_random_model_torch.mlir:13:10: note: see current operation: %51 = "torch.aten.view"(%49, %50) : (!torch.vtensor<[?,?,?],f32>, !torch.list<int>) -> !torch.vtensor<[1,1,1],f32>
torch-mlir-opt: /home/chi/src/torch-mlir/externals/llvm-project/mlir/include/mlir/IR/UseDefLists.h:198: mlir::IRObjectWithUseList<mlir::OpOperand>::~IRObjectWithUseList() [OperandType = mlir::OpOperand]: Assertion `use_empty() && "Cannot destroy a value that still has uses!"' failed.

  * Pattern : 'torch.aten.view -> ()' {
Trying to match "(anonymous namespace)::ConvertAtenViewOp"
    ** Insert  : 'arith.constant'(0x55e7d0b01740)
ImplicitTypeIDRegistry::lookupOrInsert(mlir::OpTrait::OneTypedResult<mlir::TensorType>::Impl<Empty>)
ImplicitTypeIDRegistry::lookupOrInsert(mlir::OpTrait::OneOperand<Empty>)
ImplicitTypeIDRegistry::lookupOrInsert(mlir::CastOpInterface::Trait<Empty>)
    ** Insert  : 'tensor.dim'(0x55e7d0b00860)
    ** Insert  : 'arith.constant'(0x55e7d0b017b0)
    ** Insert  : 'tensor.dim'(0x55e7d0b00910)
    ** Insert  : 'arith.constant'(0x55e7d0b00e30)
    ** Insert  : 'tensor.dim'(0x55e7d0b00ea0)
    ** Failure : at most one element in size list is allowed to be -1